{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [\n",
    "    'unet-b2-LB-0.89169', \n",
    "    'unet-b5-LB-0.91515', \n",
    "    'fpn-b5-LB-0.90652', \n",
    "    'fpn-b5-LB-0.90496', \n",
    "    'fpn-b5-LB-0.90547', \n",
    "    'fpn-b5-LB-0.91276',\n",
    "    'se_resnext50_32x4d', \n",
    "    'mobilenet2', \n",
    "    'resnet34',\n",
    "    'mean'\n",
    "]\n",
    "\n",
    "diffs = np.array(\n",
    "        [[[0.0000e+00, 3.3840e-01, 6.5376e-01, 7.9940e-01, 5.1933e-01,\n",
    "          4.0983e-01, 2.8370e-01, 7.5920e-01, 4.9149e-01, 4.7164e-01],\n",
    "         [3.3840e-01, 0.0000e+00, 4.3244e-01, 5.5324e-01, 3.3109e-01,\n",
    "          2.1162e-01, 3.7949e-01, 6.0213e-01, 4.4799e-01, 3.4946e-01],\n",
    "         [6.5376e-01, 4.3244e-01, 0.0000e+00, 4.8196e-01, 4.2667e-01,\n",
    "          3.5576e-01, 6.3472e-01, 7.1916e-01, 6.2420e-01, 4.5044e-01],\n",
    "         [7.9940e-01, 5.5324e-01, 4.8196e-01, 0.0000e+00, 5.4905e-01,\n",
    "          5.0400e-01, 7.5018e-01, 7.5652e-01, 7.1774e-01, 5.3538e-01],\n",
    "         [5.1933e-01, 3.3109e-01, 4.2667e-01, 5.4905e-01, 0.0000e+00,\n",
    "          3.2876e-01, 5.4438e-01, 6.6755e-01, 5.7551e-01, 3.9822e-01],\n",
    "         [4.0983e-01, 2.1162e-01, 3.5576e-01, 5.0400e-01, 3.2876e-01,\n",
    "          0.0000e+00, 4.0783e-01, 6.2297e-01, 4.6201e-01, 3.3739e-01],\n",
    "         [2.8370e-01, 3.7949e-01, 6.3472e-01, 7.5018e-01, 5.4438e-01,\n",
    "          4.0783e-01, 0.0000e+00, 7.4668e-01, 5.0372e-01, 4.6190e-01],\n",
    "         [7.5920e-01, 6.0213e-01, 7.1916e-01, 7.5652e-01, 6.6755e-01,\n",
    "          6.2297e-01, 7.4668e-01, 0.0000e+00, 7.5037e-01, 5.8763e-01],\n",
    "         [4.9149e-01, 4.4799e-01, 6.2420e-01, 7.1774e-01, 5.7551e-01,\n",
    "          4.6201e-01, 5.0372e-01, 7.5037e-01, 0.0000e+00, 4.9144e-01],\n",
    "         [4.7164e-01, 3.4946e-01, 4.5044e-01, 5.3538e-01, 3.9822e-01,\n",
    "          3.3739e-01, 4.6190e-01, 5.8763e-01, 4.9144e-01, 0.0000e+00]],\n",
    "\n",
    "        [[0.0000e+00, 2.1987e-02, 1.2053e-01, 1.2956e-01, 6.7450e-02,\n",
    "          8.1309e-03, 7.3072e-02, 1.4304e-01, 1.5074e-01, 7.8944e-02],\n",
    "         [2.1987e-02, 0.0000e+00, 1.2284e-01, 1.2465e-01, 6.5362e-02,\n",
    "          2.0740e-02, 7.6380e-02, 1.4098e-01, 1.5591e-01, 7.8287e-02],\n",
    "         [1.2053e-01, 1.2284e-01, 0.0000e+00, 1.5213e-01, 1.2969e-01,\n",
    "          1.1444e-01, 1.6378e-01, 2.1696e-01, 2.2858e-01, 1.3411e-01],\n",
    "         [1.2956e-01, 1.2465e-01, 1.5213e-01, 0.0000e+00, 1.1825e-01,\n",
    "          1.2324e-01, 1.7338e-01, 2.1805e-01, 2.2251e-01, 1.3435e-01],\n",
    "         [6.7450e-02, 6.5362e-02, 1.2969e-01, 1.1825e-01, 0.0000e+00,\n",
    "          6.0968e-02, 1.1629e-01, 1.7821e-01, 1.7283e-01, 9.4036e-02],\n",
    "         [8.1309e-03, 2.0740e-02, 1.1444e-01, 1.2324e-01, 6.0968e-02,\n",
    "          0.0000e+00, 6.9011e-02, 1.3872e-01, 1.4662e-01, 7.5065e-02],\n",
    "         [7.3072e-02, 7.6380e-02, 1.6378e-01, 1.7338e-01, 1.1629e-01,\n",
    "          6.9011e-02, 0.0000e+00, 1.7975e-01, 1.9053e-01, 1.1346e-01],\n",
    "         [1.4304e-01, 1.4098e-01, 2.1696e-01, 2.1805e-01, 1.7821e-01,\n",
    "          1.3872e-01, 1.7975e-01, 0.0000e+00, 2.4232e-01, 1.5665e-01],\n",
    "         [1.5074e-01, 1.5591e-01, 2.2858e-01, 2.2251e-01, 1.7283e-01,\n",
    "          1.4662e-01, 1.9053e-01, 2.4232e-01, 0.0000e+00, 1.6411e-01],\n",
    "         [7.8944e-02, 7.8287e-02, 1.3411e-01, 1.3435e-01, 9.4036e-02,\n",
    "          7.5065e-02, 1.1346e-01, 1.5665e-01, 1.6411e-01, 0.0000e+00]],\n",
    "\n",
    "        [[0.0000e+00, 6.3183e+00, 6.8883e+00, 7.0638e+00, 7.0786e+00,\n",
    "          6.3656e+00, 7.9234e+00, 7.5923e+00, 8.1864e+00, 6.0543e+00],\n",
    "         [6.3183e+00, 0.0000e+00, 2.5000e+00, 2.7427e+00, 3.0065e+00,\n",
    "          1.8456e+00, 5.1739e+00, 6.6058e+00, 4.8662e+00, 3.5067e+00],\n",
    "         [6.8883e+00, 2.5000e+00, 0.0000e+00, 2.8827e+00, 3.3162e+00,\n",
    "          2.3327e+00, 5.7240e+00, 7.0611e+00, 5.3136e+00, 3.6489e+00],\n",
    "         [7.0638e+00, 2.7427e+00, 2.8827e+00, 0.0000e+00, 3.4554e+00,\n",
    "          2.5545e+00, 5.8774e+00, 7.1279e+00, 5.3405e+00, 3.7780e+00],\n",
    "         [7.0786e+00, 3.0065e+00, 3.3162e+00, 3.4554e+00, 0.0000e+00,\n",
    "          2.7724e+00, 6.0087e+00, 7.2682e+00, 5.7284e+00, 3.8815e+00],\n",
    "         [6.3656e+00, 1.8456e+00, 2.3327e+00, 2.5545e+00, 2.7724e+00,\n",
    "          0.0000e+00, 5.2596e+00, 6.7174e+00, 4.9461e+00, 3.3213e+00],\n",
    "         [7.9234e+00, 5.1739e+00, 5.7240e+00, 5.8774e+00, 6.0087e+00,\n",
    "          5.2596e+00, 0.0000e+00, 8.1434e+00, 6.5506e+00, 5.4690e+00],\n",
    "         [7.5923e+00, 6.6058e+00, 7.0611e+00, 7.1279e+00, 7.2682e+00,\n",
    "          6.7174e+00, 8.1434e+00, 0.0000e+00, 7.5350e+00, 6.0866e+00],\n",
    "         [8.1864e+00, 4.8662e+00, 5.3136e+00, 5.3405e+00, 5.7284e+00,\n",
    "          4.9461e+00, 6.5506e+00, 7.5350e+00, 0.0000e+00, 5.1864e+00],\n",
    "         [6.0543e+00, 3.5067e+00, 3.6489e+00, 3.7780e+00, 3.8815e+00,\n",
    "          3.3213e+00, 5.4690e+00, 6.0866e+00, 5.1864e+00, 0.0000e+00]],\n",
    "\n",
    "        [[0.0000e+00, 1.5265e+00, 1.6955e+00, 1.6895e+00, 1.7159e+00,\n",
    "          1.5006e+00, 1.6729e+00, 1.6227e+00, 1.7712e+00, 1.3710e+00],\n",
    "         [1.5265e+00, 0.0000e+00, 7.1173e-01, 7.7481e-01, 9.4964e-01,\n",
    "          5.5108e-01, 1.1411e+00, 1.5169e+00, 1.3479e+00, 8.9170e-01],\n",
    "         [1.6955e+00, 7.1173e-01, 0.0000e+00, 8.1708e-01, 9.0416e-01,\n",
    "          6.6812e-01, 1.3571e+00, 1.7144e+00, 1.5049e+00, 9.2543e-01],\n",
    "         [1.6895e+00, 7.7481e-01, 8.1708e-01, 0.0000e+00, 9.2429e-01,\n",
    "          7.6467e-01, 1.2958e+00, 1.6340e+00, 1.4609e+00, 9.3758e-01],\n",
    "         [1.7159e+00, 9.4964e-01, 9.0416e-01, 9.2429e-01, 0.0000e+00,\n",
    "          8.6328e-01, 1.4385e+00, 1.7335e+00, 1.5400e+00, 9.9592e-01],\n",
    "         [1.5006e+00, 5.5108e-01, 6.6812e-01, 7.6467e-01, 8.6328e-01,\n",
    "          0.0000e+00, 1.1913e+00, 1.5413e+00, 1.3832e+00, 8.3431e-01],\n",
    "         [1.6729e+00, 1.1411e+00, 1.3571e+00, 1.2958e+00, 1.4385e+00,\n",
    "          1.1913e+00, 0.0000e+00, 1.6650e+00, 1.5144e+00, 1.2136e+00],\n",
    "         [1.6227e+00, 1.5169e+00, 1.7144e+00, 1.6340e+00, 1.7335e+00,\n",
    "          1.5413e+00, 1.6650e+00, 0.0000e+00, 1.5639e+00, 1.3517e+00],\n",
    "         [1.7712e+00, 1.3479e+00, 1.5049e+00, 1.4609e+00, 1.5400e+00,\n",
    "          1.3832e+00, 1.5144e+00, 1.5639e+00, 0.0000e+00, 1.2977e+00],\n",
    "         [1.3710e+00, 8.9170e-01, 9.2543e-01, 9.3758e-01, 9.9592e-01,\n",
    "          8.3431e-01, 1.2136e+00, 1.3517e+00, 1.2977e+00, 0.0000e+00]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = [pd.DataFrame(diffs[c, :, :]) for c in range(4)]\n",
    "for df in dfs:\n",
    "    df.columns = models\n",
    "    df.index = models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3ebcf9c9e8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(dfs[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3ebc5c9668>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(dfs[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3ebc5b8b70>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(dfs[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3ebc4eabe0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(dfs[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
